scholarly journals Quality Control of Mutton by Using Volatile Compound Fingerprinting Techniques and Chemometric Methods

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Ping Zhan ◽  
Honglei Tian ◽  
Baoguo Sun ◽  
Yuyu Zhang ◽  
Haitao Chen
Keyword(s):  
Gas Chromatography ◽  
Quality Control ◽  
Principal Component ◽  
Chemical Markers ◽  
Chemometric Methods ◽  
Chromatographic Fingerprint ◽  
Gas Chromatography Olfactometry ◽  
Gas Chromatography Mass Spectroscopy ◽  
Chromatographic Fingerprinting

A method for chromatographic fingerprinting of flavor was established for the quality control of mutton. Twenty-five mutton samples that were chosen from twelve batches were investigated by gas chromatography-mass spectroscopy (GC-MS) and gas chromatography-olfactometry (GC-O). Spectral correlative chromatograms combined with GC-O assessment were employed, and 32 common odor-active compounds that characterize mutton flavor fingerprint were obtained. Based on the flavor chromatographic fingerprint data, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were designed and employed as chromatographic fingerprint methods. Defined categories were perfectly discriminated after PLS-DA was conducted on the fused matrix, demonstrating a 100% accurate classification. Fourteen constituents were further screened with PLS-DA to be the main chemical markers, and they were used to develop similar approaches for the determination of mutton quality and traceability. The flavor fingerprint of mutton established using SPME-GC-MS/O coupled with PLS-DA is appropriate for differentiating and identifying samples, and the procedure would be used in quality control.

scholarly journals Full spectrum and genetic algorithm-selected spectrum-based chemometric methods for simultaneous determination of azilsartan medoxomil, chlorthalidone, and azilsartan: Development, validation, and application on commercial dosage form

2021 ◽  
Vol 19 (1) ◽  
pp. 205-213
Author(s):  
Hany W. Darwish ◽  
Abdulrahman A. Al Majed ◽  
Ibrahim A. Al-Suwaidan ◽  
Ibrahim A. Darwish ◽  
Ahmed H. Bakheit ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Simultaneous Determination ◽  
Predictive Power ◽  
Principal Component Regression ◽  
Selection Procedure ◽  
Principal Component ◽  
Chemometric Methods ◽  
Full Spectrum ◽  
Azilsartan Medoxomil

Abstract Five various chemometric methods were established for the simultaneous determination of azilsartan medoxomil (AZM) and chlorthalidone in the presence of azilsartan which is the core impurity of AZM. The full spectrum-based chemometric techniques, namely partial least squares (PLS), principal component regression, and artificial neural networks (ANN), were among the applied methods. Besides, the ANN and PLS were the other two methods that were extended by genetic algorithm procedure (GA-PLS and GA-ANN) as a wavelength selection procedure. The models were developed by applying a multilevel multifactor experimental design. The predictive power of the suggested models was evaluated through a validation set containing nine mixtures with different ratios of the three analytes. For the analysis of Edarbyclor® tablets, all the proposed procedures were applied and the best results were achieved in the case of ANN, GA-ANN, and GA-PLS methods. The findings of the three methods were revealed as the quantitative tool for the analysis of the three components without any intrusion from the co-formulated excipient and without prior separation procedures. Moreover, the GA impact on strengthening the predictive power of ANN- and PLS-based models was also highlighted.

scholarly journals The Determination of Parkinson’s Drugs in Human Urine by Applying Chemometric Methods

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Guzide Pekcan Ertokus
Keyword(s):  
Urine Sample ◽  
Human Urine ◽  
Principal Component Regression ◽  
Principal Component ◽  
Healthy Person ◽  
Drug Analysis ◽  
Uv Spectrophotometry ◽  
Least Squares Regression ◽  
Chemometric Methods

The spectrophotometric-chemometric analysis of levodopa and carbidopa that are used for Parkinson’s disease was analyzed without any prior reservation. Parkinson’s drugs in the urine sample of a healthy person (never used drugs in his life) were analyzed at the same time spectrophotometrically. The chemometric methods used were partial least squares regression (PLS) and principal component regression (PCR). PLS and PCR were successfully applied as chemometric determination of levodopa and carbidopa in human urine samples. A concentration set including binary mixtures of levodopa and carbidopa in 15 different combinations was randomly prepared in acetate buffer (pH 3.5).). UV spectrophotometry is a relatively inexpensive, reliable, and less time-consuming method. Minitab program was used for absorbance and concentration values. The normalization values for each active substance were good (r2>0.9997). Additionally, experimental data were validated statistically. The results of the analyses of the results revealed high recoveries and low standard deviations. Hence, the results encouraged us to apply the method to drug analysis. The proposed methods are highly sensitive and precise, and therefore they were implemented for the determination of the active substances in the urine sample of a healthy person in triumph.

scholarly journals IDENTIFICATION OF BIOACTIVE COMPONENTS IN ENHALUS ACOROIDES SEAGRASS EXTRACT BY GAS CHROMATOGRAPHY–MASS SPECTROMETRY

2018 ◽  
Vol 11 (10) ◽  
pp. 313 ◽  
Author(s):  
Amudha P ◽  
Jayalakshmi M ◽  
Pushpabharathi N ◽  
Vanitha V
Keyword(s):  
Gas Chromatography ◽  
Ethyl Acetate ◽  
Ethyl Acetate Extract ◽  
Antioxidant Property ◽  
Butylated Hydroxytoluene ◽  
Gas Chromatography Mass Spectrometry ◽  
Antitumor Activities ◽  
Enhalus Acoroides ◽  
Gas Chromatography Mass Spectroscopy

Objective: This study deals with the determination of possible phytocompounds present in the ethyl acetate extract of Enhalus acoroides using gas chromatography-mass spectroscopy (GC-MS) technique. Methods: Using GC-MS technique the phytocompounds present in the ethyl acetate extract of E. acoroides whole seagrass was investigated, and the mass spectra of the compounds found in the extract were matched with the National Institute of Standards and Technology library.Results: GC-MS analysis of E. acoroides extract revealed the existence of several phytocompounds which includes 1-nonadecene (17.15%), n-tetracosanol-1 (11.48%), 1-octadecene (10.06%), 2-pentadecanone (7.87%), behenyl alcohol (7.33%), 17-pentatriacontene (4.84%), triacontane (4.25%), tetratetracontane (4.17%), and butylated hydroxytoluene (2.09%).Conclusion: E. acoroides possess distinct phytocompounds such as 1-nonadecene and n-tetracosanol-1 which possess antioxidant property, triacontane which has antibacterial, antidiabetic and antitumor activities. Further studies need to elute novel bioactive compounds and toxicity profile through animal models. 

New Carissa Oil Spill: Challenges to Oil Spill Source Identification

2001 ◽  
Vol 2001 (1) ◽  
pp. 97-107
Author(s):  
Gary Moffatf
Keyword(s):  
Gas Chromatography ◽  
Oil Spill ◽  
Principal Component ◽  
Lessons Learned ◽  
Polynuclear Aromatic Hydrocarbons ◽  
Selected Ion Monitoring ◽  
Subsequent Determination ◽  
High Resolution Gas Chromatography ◽  
Spilled Oil

ABSTRACT High resolution gas chromatography (GC) and gas chromatography in conjunction with mass spectrometry (GCMS) were used as fingerprinting techniques in this study to link oil spilled from the New Carissa to oil taken from oil impacted locations. Analyses included normal and isoprenoid alkanes, hopanes, and steranes, as well as a range of polynuclear aromatic hydrocarbons (PAHS). The oil spilled from the New Carissa was initially thought to be limited to bunker oils. Therefore, chromatograms of these samples and selected ion monitoring (SIM) chromatograms of the components and their combinations were compared, and obvious mismatches were rejected. Initial comparisons seemed simple; however, as with the spill response itself, factors that most often are insignificant began to affect the chemical analyses. Complications and technical challenges using conventional fingerprinting methods arose for several reasons. Likely reasons are (1) the spilled oil weathered on continued exposure to environmental conditions; (2) burning could cause changes to the chemical fingerprint; and (3) potential inhomogeneity of the spill because of multiple fuel sources in five fuel tanks at the bottom of the vessel. The PAH fingerprint had limited resistance to weathering. Therefore, the hopane fingerprint was selected for its resistance to weathering and potential screening power. Preburn and postburn New Carissa oil was characterized using principal component analysis (PCA) to determine if new and seemingly unrelated tarballs could be derived from the New Carissa spill. Response personnel will benefit from the lessons learned about potential complications of oil identification and subsequent determination of origin.

Chemometric Approaches In Analysis Of Vegetable Oils As A Way To Improve An Efficiency Of Forensic Examination

2019 ◽  
Vol 14 (4) ◽  
pp. 192-199
Author(s):  
V. Rudniev ◽  
E. Simakova-Yefremian ◽  
V. Khosha ◽  
V. Ostropilets
Keyword(s):  
Vegetable Oils ◽  
Methyl Esters ◽  
Principal Component ◽  
Detailed Examination ◽  
Chemometric Methods ◽  
Split Ratio ◽  
Forensic Examination ◽  
Hidden Correlations ◽  
Identification Research

The approach to forensic examination performance through accelerated classification and identification research of vegetable oils is demonstrated. It includes derivatization of the original objects, analysis of obtained methyl esters mixture using GC-MS technique and applying of chemometric tools for gathering preliminary data. Subsequent processing of obtained chromatograms using principal component analysis for grouping of objects simplifies further detailed examination. An analysis of hidden correlations between variables and influence of the initial data on the first to third major components formation is provided. Using values of content of only 5 most widespread fat acids leads to satisfied visual pattern for prior recognition of oil samples. Applying of various split ratios is recommended at different stages of gas-chromatographic analysis. Split ratio 1 : 50 is recommended for gathering of data treated by chemometric methods and 1 : 2 is useful for determination of minor components presence as specific features.

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